Martin I. Sereno
University College London
Artificial intelligencePsychologyNeuroscienceSomatosensory systemPattern recognitionCognitive psychologyReceptive fieldVisual fieldCortex (anatomy)Human brainMacaqueFunctional magnetic resonance imagingVisual cortexRetinotopyComputer visionComputer scienceBrain mappingPosterior parietal cortexBiologySensory system
Publications 162
#1Benjamin de Haas (University of Giessen)H-Index: 13
#2Martin I. Sereno (UCL: University College London)H-Index: 53
Last. D. Samuel Schwarzkopf (UCL: University College London)H-Index: 13
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The ventral visual stream of the human brain is subdivided into patches with categorical stimulus preferences, like faces or scenes. However, the functional organization within these areas is less clear. Here, we used functional magnetic resonance imaging and vertex-wise tuning models to independently probe spatial and face-part preferences in the inferior occipital gyrus (IOG) of healthy adult males and females. The majority of responses were well explained by Gaussian population tuning curves ...
#1Tara Ganepola (UCL: University College London)
#2Yoojin Lee (ETH Zurich)H-Index: 7
Last. Zoltán Nagy (Wellcome Trust Centre for Neuroimaging)H-Index: 77
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OBJECTIVE To investigate whether varied or repeated b-values provide better diffusion MRI data for discriminating cortical areas with a data-driven approach. METHODS Data were acquired from three volunteers at 1.5T with b-values of 800, 1400, 2000 s/mm2 along 64 diffusion-encoding directions. The diffusion signal was sampled from gray matter in seven regions of interest (ROIs). Rotational invariants of the local diffusion profile were extracted as features that characterize local tissue properti...
#1Martin I. Sereno (SDSU: San Diego State University)H-Index: 53
#2Jörn Diedrichsen (UCL: University College London)H-Index: 58
Last. Chris I. De Zeeuw (Netherlands Institute for Neuroscience)H-Index: 8
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The surface of the human cerebellar cortex is much more tightly folded than the cerebral cortex. It was computationally reconstructed for the first time to the level of all individual folia from multicontrast high-resolution postmortem MRI scans. Its total shrinkage-corrected surface area (1,590 cm2) was larger than expected or previously reported, equal to 78% of the total surface area of the human neocortex. The unfolded and flattened surface comprised a narrow strip 10 cm wide but almost 1 m ...
14 CitationsSource
#1Flavia Filimon (University of Surrey)H-Index: 8
#2Jonathan D. Nelson (University of Surrey)H-Index: 15
Last. Garrison W. Cottrell (UCSD: University of California, San Diego)H-Index: 55
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Do dopaminergic reward structures represent the expected utility of information similarly to a reward? Optimal experimental design models from Bayesian decision theory and statistics have proposed a theoretical framework for quantifying the expected value of information that might result from a query. In particular, this formulation quantifies the value of information before the answer to that query is known, in situations where payoffs are unknown and the goal is purely epistemic: That is, to i...
2 CitationsSource
#1Flavia FilimonH-Index: 8
#2Jonathan D. NelsonH-Index: 15
Last. Garrison W. CottrellH-Index: 55
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#1John G. Samuelsson (MIT: Massachusetts Institute of Technology)H-Index: 4
#2Padmavathi Sundaram (Harvard University)H-Index: 6
Last. Matti Hämäläinen (Harvard University)H-Index: 84
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Electrophysiological signals from the cerebellum have traditionally been viewed as inaccessible to magnetoencephalography (MEG) and electroencephalography (EEG). Here, we challenge this position by investigating the ability of MEG and EEG to detect cerebellar activity using a model that employs a high-resolution tessellation of the cerebellar cortex. The tessellation was constructed from repetitive high-field (9.4T) structural magnetic resonance imaging (MRI) of an ex vivo human cerebellum. A bo...
8 CitationsSource
#1Ivan Alvarez (UCL: University College London)H-Index: 9
#2Rebecca Smittenaar (UCL: University College London)H-Index: 4
Last. Chris A. Clark (UCL: University College London)H-Index: 47
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Abstract Albinism is a congenital disorder where misrouting of the optic nerves at the chiasm gives rise to abnormal visual field representations in occipital cortex. In typical human development, the left occipital cortex receives retinal input predominantly from the right visual field, and vice-versa. In albinism, there is a more complete decussation of optic nerve fibers at the chiasm, resulting in partial representation of the temporal hemiretina (ipsilateral visual field) in the contralater...
1 CitationsSource
#1Surabhi Nimbalkar (SDSU: San Diego State University)H-Index: 4
#2Erwin Fuhrer (KIT: Karlsruhe Institute of Technology)H-Index: 4
Last. Jan G. Korvink (KIT: Karlsruhe Institute of Technology)H-Index: 51
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The recent introduction of glassy carbon (GC) microstructures supported on flexible polymeric substrates has motivated the adoption of GC in a variety of implantable and wearable devices. Neural probes such as electrocorticography and penetrating shanks with GC microelectrode arrays used for neural signal recording and electrical stimulation are among the first beneficiaries of this technology. With the expected proliferation of these neural probes and potential clinical adoption, the magnetic r...
5 CitationsSource
#1Flavia Mancini (University of Cambridge)H-Index: 18
#2Audrey P. Wang (NeuRA: Neuroscience Research Australia)H-Index: 2
Last. Caroline Rae (UNSW: University of New South Wales)H-Index: 42
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It has long been thought that severe chronic pain conditions, such as Complex Regional Pain Syndrome (CRPS), are not only associated with, but even maintained by a reorganisation of the somatotopic representation of the affected limb in primary somatosensory cortex (S1). This notion has driven treatments that aim to restore S1 representations, such as sensory discrimination training and mirror therapy. However, this notion is based on both indirect and incomplete evidence obtained with imaging m...
11 CitationsSource
#1Luigi TamèH-Index: 14
Last. Matthew LongoH-Index: 1
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